Cloudflare Workers AI MCP
Cloudflare Workers AI inference: LLM chat completions (Llama, Qwen, DeepSeek), BGE text embeddings and Flux image generation.
التثبيت
خطوات التثبيت موجودة في التوثيق أدناه. التوثيق
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
المحتويات
Cloudflare Workers AI MCP Server
Model Context Protocol (MCP) server that gives AI agents access to Cloudflare Workers AI — serverless LLM inference, embeddings, and image generation with a generous free tier.
Tools
| Tool | Description |
|---|---|
list_models | List supported chat, embedding, and image models |
chat_completion | LLM chat completion (Llama 3.3 70B, Llama 3.1 8B, Llama 4 Scout, Qwen Coder 32B, DeepSeek R1 Distill) |
embed_text | Text embeddings (BGE small/base) |
generate_image | Image generation (Flux 1 Schnell) → base64 image (PNG/JPEG) |
Setup
- Create a Cloudflare API token with the Workers AI permission: https://dash.cloudflare.com/profile/api-tokens
- Get your Account ID (right sidebar of the Cloudflare dashboard, or the
/accounts/{id}segment of any dashboard URL) - Export the env vars:
export CLOUDFLARE_ACCOUNT_ID="your-account-id"
export CLOUDFLARE_API_TOKEN="your-api-token"
Run
npm install && npm run build
npm start # stdio MCP server
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"cloudflare-workers-ai": {
"command": "node",
"args": ["/absolute/path/to/cloudflare-workers-ai-mcp/dist/index.js"],
"env": {
"CLOUDFLARE_ACCOUNT_ID": "your-account-id",
"CLOUDFLARE_API_TOKEN": "your-api-token"
}
}
}
}
Cursor / VS Code / other MCP clients
Point the client at the same command (node dist/index.js with the two env vars).
OpenClaw
OpenClaw supports MCP servers — add the same command to its MCP configuration.
Example prompts
- "Summarize this text using the Llama 3.3 70B model on Cloudflare Workers AI"
- "Generate an image of a red fox in a snowstorm"
- "Embed these 3 sentences for a similarity search"
Models (verified live)
Chat: POST /ai/v1/chat/completions (OpenAI-compatible) · Embeddings & images: POST /ai/run/{model} (native)
Models — chat: @cf/meta/llama-3.3-70b-instruct-fp8-fast · @cf/meta/infire-llama-3.1-8b-instruct · @cf/meta/llama-4-scout-17b-16e-instruct · @cf/qwen/qwen2.5-coder-32b-instruct · @cf/deepseek-ai/deepseek-r1-distill-qwen-32b
Embeddings: @cf/baai/bge-small-en-v1.5 · @cf/baai/bge-base-en-v1.5
Images: @cf/black-forest-labs/flux-1-schnell
Note:
@cf/meta/llama-3.1-8b-instructwas deprecated by Cloudflare (2026-05-30) — use@cf/meta/infire-llama-3.1-8b-instruct.
Test
npm test # unit tests (mocked fetch) + protocol test
License
MIT — built by puspoaditya.
الأسئلة الشائعة
ما هو Cloudflare Workers AI MCP؟
Cloudflare Workers AI inference: LLM chat completions (Llama, Qwen, DeepSeek), BGE text embeddings and Flux image generation.
كيف أثبّت Cloudflare Workers AI MCP؟
اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.
هل Cloudflare Workers AI MCP مفتوح المصدر؟
نعم. شيفرته متاحة على GitHub بترخيص MIT.
من يصون Cloudflare Workers AI MCP؟
ينشره puspoaditya. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.